@@ -25,7 +25,7 @@ To avoid the trouble of environment setup, [running in Docker container](#runnin
### Prerequisites
- Python 2.7 only supported
- PaddlePaddle the latest version (please refer to the [Installation Guide](https://www.paddlepaddle.org.cn/documentation/docs/en/1.5/beginners_guide/install/index_en.html))
- PaddlePaddle 1.6 version (Coming soon ...)
### Setup
- Make sure these libraries or tools installed: `pkg-config`, `flac`, `ogg`, `vorbis`, `boost` and `swig`, e.g. installing them via `apt-get`:
*DeepSpeech2*是一个采用[PaddlePaddle](https://github.com/PaddlePaddle/Paddle)平台的端到端自动语音识别(ASR)引擎的开源项目,具体原理参考这篇论文[Baidu's Deep Speech 2 paper](http://proceedings.mlr.press/v48/amodei16.pdf)。
{"audio_filepath": "/home/work/.cache/paddle/Libri/134686/1089-134686-0001.flac", "duration": 3.275, "text": "stuff it into you his belly counselled him"}
{"audio_filepath": "/home/work/.cache/paddle/Libri/134686/1089-134686-0007.flac", "duration": 4.275, "text": "a cold lucid indifference reigned in his soul"}
到目前为止,一个 ASR 模型已经训练完毕,并且用现有的音频文件进行了定性测试(`infer.py`)和定量测试(`test.py`)。但目前还没有用你自己的声音进行测试。`deploy/demo_english_server.py`和`deploy/demo_client.py`能够快速构建一个利用已训练好的模型对ASR引擎进行实时演示的系统,使你能够用自己的语音测试和演示。